Featured in
Architecture & Design

Mini-talks: The Machine Intelligence Landscape: A Venture Capital Perspective by David Beyer. The future of global, trustless transactions on the largest graph: blockchain by Olaf Carlson-Wee. Algorithms for Anti-Money Laundering by Richard Minerich.

Featured in
Operations & Infrastructure

Mini-talks: The Machine Intelligence Landscape: A Venture Capital Perspective by David Beyer. The future of global, trustless transactions on the largest graph: blockchain by Olaf Carlson-Wee. Algorithms for Anti-Money Laundering by Richard Minerich.

Featured in
Enterprise Architecture

Mini-talks: The Machine Intelligence Landscape: A Venture Capital Perspective by David Beyer. The future of global, trustless transactions on the largest graph: blockchain by Olaf Carlson-Wee. Algorithms for Anti-Money Laundering by Richard Minerich.

Cool things you can do with Groovy

With dynamic languages playing a role in JDK 6, the "Cool things you can do with Groovy" session was aimed at show casing the features of the Groovy language that can help make developers more productive. Groovy experts Guillaume Laforge, Dierk Konig, and Guillaume Alleon presented.

An introduction of the standard features (enhanced language features, closures, regular expression support, GString, collection, etc.) was presented, before discussing the more productivity-enhancing features, most notable of which were:

Groovy Builders & GPath: No longer do you need to interact with complex XPath APIs to access data. With GPath XML documents act as first class objects, allowing you to access data by calling properties. Using builders, you work in the reverse direction, using objects and braces to create XML files. Along with XML builders there are Swing and ANT builders.

Annotation Support: With the release of 1.1 later this year, Groovy will be the only dynamic language that supports annotations. This is an important milestone as it will allow bidirectional data access. A demonstration using Google Juice and TestNG showed how easy a test case using injected mock data can be developed.

Live Objects: The Groovy shell feature is not only a simple way to explore the language, but can be used to interactively explore the current Java runtime environment. When embedded into an application, runtime configurations can be explored and modified in real-time, allowing you to check assumptions and test out theories before making permanent changes in the code.

Dynamic Applications: Compiling Groovy into Java class files and then using the static class files in your applications is one option, but there are a couple of other options available to developers. The most compelling is to use the GroovyClassloader - with this option the Groovy scripts are compiled at runtime as they are requested, allowing source files to be changed and used without restarting the application.

Great little presentation, I have really high hopes for Groovy & Grails. Thanks for posting this Infoq. I noticed that jDeveloper was not on the list for tooling support for Groovy, for some reason I thought that they had previously stated that they would provide future support for this in there IDE.